Journal of Digital Landscape Architecture

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The Future of Artificial Intelligence (AI) and Machine Learning (ML) in Landscape Design: A Case Study in Coastal Virginia, USA

There have been theory-based endeavours that directly engage with AI and ML in the landscape discipline. By presenting a case that uses machine learning techniques to predict variables in a coastal environment, this paper provides empirical evidence of the forthcoming cybernetic environment, in which designers are conceptualized not as authors but as choreographers, catalyst agents, and conductors among many other intelligent agents. Drawing ideas from posthumanism, this paper argues that, to truly understand the cybernetic environment, we have to take on posthumanist ethics and overcome human exceptionalism.

Autor / Author: Zhang, Zihao; Bowes, Ben
Institution / Institution: University of Virginia, Virginia/USA; University of Virginia, Virginia/USA
Seitenzahl / Pages: 8
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA − Journal of Digital Landscape Architecture, 4-2019
Tagung / Conference: Digital Landscape Architecture 2019 – Landscape: Informed by Science, Shaped by Design
Veranstaltungsort, -datum / Venue, Date: Anhalt University, Dessau, Germany 22-05-19 - 25-05-19
Schlüsselwörter (de):
Keywords (en): Machine learning, artificial intelligence, landscape design, cybernetics
Paper review type: Full Paper Review
DOI: doi:10.14627/537663001
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